Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence

论文概要

研究领域: AI/ML
作者: Ya Wang, Lei Zhang, Xueguang Yang
发布时间: 2026-09-06
arXiv: 2509.00001

中文摘要

人工智能正在改变应用英语教材的形态，从固定的纸质序列转变为能够诊断学习者、推荐任务并提供形成性反馈的自适应学习系统。本文研究了人工智能驱动的新型实用英语教材的结构与应用。研究提出了五层架构：知识映射、学习者画像、任务生成、反馈编排和教师端治理。该原型系统在186名非英语专业本科生中进行了为期八周的教学测试。与静态数字教材相比，所提出的系统将单元完成准确率从72.4%提高到84.9%，口语任务平均分提高了10.8分，教师批改时间减少了31.6%。因此，人工智能驱动的教材能够在保持课程稳定性的同时，提供个性化学习路径、丰富的练习材料和可追溯的课堂数据。

原文摘要

Artificial intelligence is changing the form of applied English materials from fixed paper sequences to adaptive learning systems that can diagnose learners, recommend tasks, and provide formative feedback. This paper studies the structure and application of a new practical English textbook driven by artificial intelligence. A five-layer architecture is proposed: knowledge mapping, learner profiling, task generation, feedback orchestration, and teacher-side governance. A prototype was tested on 186 non-English-major undergraduates for eight weeks of teaching. Compared with a static digital textbook, the proposed system increased the unit completion accuracy from 72.4% to 84.9%, raised the average score for speaking tasks by 10.8 points, and reduced the teacher's correction time by 31.6%. T...

自动采集于 2026-09-06

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